ryanjoneil / decision-models-for-data-science

Related projects: ⓘ

• twiecki / pydata_ninja
  The Path of the PyData Ninja
  ☆16Updated 9 years ago
• TomAugspurger / postlearn
  Common post-estimation tasks for scikit-learn
  ☆17Updated 7 years ago
• Emaasit / meetups
  Presentations from meetups and conferences
  ☆18Updated 4 years ago
• jcbozonier / research
  A collection of IPython Notebooks containing my research.
  ☆20Updated 6 years ago
• thedataincubator / practical-ml
  ☆24Updated 5 years ago
• drivendataorg / drivendata-submission-validator
  Simple validator for submissions to DrivenData competitions
  ☆19Updated 5 years ago
• AllenDowney / BayesSeminar
  Bayesian statistics seminars
  ☆29Updated 7 years ago
• IainNZ / ORSoftwareTools2014
  Repository for code/examples/instructions for the MIT course 15.S60 "Software Tools for Operations Research"
  ☆26Updated 10 years ago
• pbstark / MX14
  Short course on nonparametric inference in auditing and litigation, XXIX Foro Internacional de Estadistica, Puebla, MX
  ☆15Updated 7 years ago
• ColCarroll / callisto
  A command line utility to create kernels in Jupyter from virtual environments.
  ☆16Updated 6 years ago
• tdhopper / Data-Science-Conference-Bingo
  Inspired by John Foreman. Created by the crowds.
  ☆54Updated 11 months ago
• navdeep-G / interpretable-ml
  Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.
  ☆20Updated 2 years ago
• rgerkin / pystan-sklearn
  ☆32Updated 7 years ago
• bugra / pydata-seattle-2015
  Pydata Seattle 2015 Trend Estimation in Time Series Signals Deck + Notebooks
  ☆21Updated 9 years ago
• springcoil / PyDataLondonTutorial
  PyDataLondonTutorial
  ☆26Updated 8 years ago
• mcdickenson / cs-notation
  Describing and explaining CS notation to make research papers more accessible.
  ☆8Updated 4 years ago
• erikbern / conversion
  Because you're computing conversion rates wrong
  ☆16Updated 7 years ago
• TomAugspurger / dask-tutorial-odsc-2018
  ☆15Updated last year
• jnmclarty / validada
  Another library for defensive data analysis.
  ☆29Updated 5 years ago
• jseabold / csc432-notebooks
  These are the IPython notebook files for the CSC 432 Spring '13 course.
  ☆23Updated 9 years ago
• erikson84 / BayesDataAnalysisWithPyMC
  Python (PyMC) adaptation of the R code from "Doing Bayesian Data Analysis"
  ☆65Updated 7 years ago
• mrocklin / pydata-toolz
  Tutorial for Funcitonal Python tutorial at PyData-NYC 2013
  ☆48Updated 10 years ago
• jbwhit / data-science-teams
  Miscellaneous Jupyter Notebooks for my course.
  ☆22Updated 8 years ago
• TomAugspurger / pydata-nyc-ph2t
  PyData NYC 2017: Pandas Head to Tail
  ☆57Updated 6 years ago
• godatadriven / asekuro
  A utility tool to automate certain tasks with Jupyter notebooks.
  ☆9Updated 6 months ago
• ColCarroll / pydata_nyc2017
  Slides and materials for workshop on "Two views on regression with PyMC3 and scikit-learn"
  ☆18Updated last year
• mwouts / jupytext_pyparis_2018
  Jupytext talk at PyParis 2018
  ☆11Updated 5 years ago
• fonnesbeck / ngcm_sklearn_2017
  scikit-learn course for 2017 NGCM Summer Academy
  ☆17Updated 7 years ago
• AustinRochford / notebooks
  My Jupyter notebook server
  ☆19Updated 2 years ago
• khakieconomics / stanecon_short_course
  Notes for short course on econometrics in Stan
  ☆10Updated 7 years ago